Learning model for predicting regression and implementation method

The invention discloses a learning model for predictive regression and an implementation method. The model comprises a similarity calculation module used for carrying out similarity calculation on target enterprise data input into the model to obtain similar enterprises; a scoring module used for scoring the similar enterprises and screening out similar enterprises in preset interval scores; and an output module used for outputting a preset processing result of the similar enterprises in the preset interval score. The technical problem that experts or consulting institutions are poor in effectof processing mass enterprise data is solved. The health diagnosis and development prediction result of the unknown target enterprise can be generated according to the similar enterprise track. In addition, the method is suitable for a scene of predicting and diagnosing enterprise development in the industry through a machine learning model. 本申请公开了一种用于预测回归的学习模型以及实现方法。该模型包括：相似度计算模块，用于对输入模型的目标企业数据进行相似度计算，得到相似企业；打分模块，对所述相似企